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Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators

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  • Ioannis E. Tsolas

    (School of Applied Mathematics and Physics, National Technical University of Athens, 15780 Athens, Greece)

Abstract

This paper aims to provide a novel construct that is based on data envelopment analysis (DEA) range adjusted measure (RAM) of efficiency and demonstrate its practical implementation by evaluating the financial performance of a sample of three upper-class contracting license (Classes 5–7) Greek construction firms. In a two-step framework, firm efficiency (i.e., composite indicators (CIs)) is produced firstly by means of RAM using single financial ratios, which are selected by grey relational analysis (GRA), and then Tobit regression is employed to model the CIs. In light of the results, only 4% of the sampled firms are efficient, and the firm ranking is consistent with the ranking of Grey Relational Grande (GRG) values produced by GRA. Moreover, the firms with a contracting license of the highest level (Class 7) appear not to be superior in efficiency to their counterparts that belong to Classes 5–6.

Suggested Citation

  • Ioannis E. Tsolas, 2020. "Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:8:p:1347-:d:397953
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    as
    1. Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2009. "An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties," European Journal of Operational Research, Elsevier, vol. 196(2), pages 764-794, July.
    2. K Choi & M Haque & H W Lee & Y K Cho & Y H Kwak, 2013. "Macroeconomic labour productivity and its impact on firm's profitability," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(8), pages 1258-1268, August.
    3. Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
    4. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2010. "Testing whether two-stage estimation is meaningful in non-parametric models of production," LIDAM Discussion Papers ISBA 2010031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Bernardino Benito & José Solana & María-Rocío Moreno, 2014. "Explaining efficiency in municipal services providers," Journal of Productivity Analysis, Springer, vol. 42(3), pages 225-239, December.
    6. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 170-191, June.
    7. Peter Demerjian & Baruch Lev & Sarah McVay, 2012. "Quantifying Managerial Ability: A New Measure and Validity Tests," Management Science, INFORMS, vol. 58(7), pages 1229-1248, July.
    8. E H Feroz & S Kim & R L Raab, 2003. "Financial statement analysis: A data envelopment analysis approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(1), pages 48-58, January.
    9. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.
    10. Gonzalo Rodríguez‐Pérez & John Slof & Magda Solà & Margarita Torrent & Immaculada Vilardell, 2011. "Assessing the Impact of Fair‐Value Accounting on Financial Statement Analysis: A Data Envelopment Analysis Approach," Abacus, Accounting Foundation, University of Sydney, vol. 47(1), pages 61-84, March.
    11. John S. Liu & Louis Y. Y. Lu & Wen-Min Lu, 2016. "Research Fronts and Prevailing Applications in Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 543-574, Springer.
    12. Peng Jiang & Yi-Chung Hu & Ghi-Feng Yen, 2017. "Applying Grey Relational Analysis to Find Interactions between Manufacturing and Logistics Industries in Taiwan," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 7(3), pages 1-2.
    13. Ioannis E. Tsolas, 2011. "Modelling profitability and effectiveness of Greek-listed construction firms: an integrated DEA and ratio analysis," Construction Management and Economics, Taylor & Francis Journals, vol. 29(8), pages 795-807, July.
    14. Oral, Muhittin & Yolalan, Reha, 1990. "An empirical study on measuring operating efficiency and profitability of bank branches," European Journal of Operational Research, Elsevier, vol. 46(3), pages 282-294, June.
    15. Kuo‐Cheng Kuo & Wen‐Min Lu & Thanh Nhan Dinh, 2020. "Firm performance and ownership structure: Dynamic network data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 608-623, June.
    16. Horta, I.M. & Camanho, A.S. & Moreira da Costa, J., 2012. "Performance assessment of construction companies: A study of factors promoting financial soundness and innovation in the industry," International Journal of Production Economics, Elsevier, vol. 137(1), pages 84-93.
    17. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    18. Bowlin, William F., 1999. "An analysis of the financial performance of defense business segments using data envelopment analysis," Journal of Accounting and Public Policy, Elsevier, vol. 18(4-5), pages 287-310.
    19. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 170-191, June.
    20. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    21. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    22. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    23. Cook, Wade D. & Kress, Moshe, 1991. "A multiple criteria decision model with ordinal preference data," European Journal of Operational Research, Elsevier, vol. 54(2), pages 191-198, September.
    24. Alireza Chalekaee & Zenonas Turskis & Mostafa Khanzadi & Gholamreza Ghodrati Amiri & Violeta Keršulienė, 2019. "A New Hybrid MCDM Model with Grey Numbers for the Construction Delay Change Response Problem," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    25. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    26. Feng, Cheng-Min & Wang, Rong-Tsu, 2000. "Performance evaluation for airlines including the consideration of financial ratios," Journal of Air Transport Management, Elsevier, vol. 6(3), pages 133-142.
    27. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    28. I E Tsolas, 2013. "Construction project monitoring by means of RAM-based composite indicators," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(8), pages 1291-1297, August.
    29. Dragisa Stanujkic & Edmundas Kazimieras Zavadskas & Darjan Karabasevic & Zenonas Turskis & Violeta Keršulienė, 2017. "New group decision-making ARCAS approach based on the integration of the SWARA and the ARAS methods adapted for negotiations," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(4), pages 599-618, July.
    30. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    31. Aude Deville & G. Ferrier & H. Leleu, 2014. "Measuring the performance of hierarchical organizations: an application to bank efficiency at the regional and branch levels," Post-Print hal-01052603, HAL.
    32. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non-parametric, two-stage models of production," LIDAM Reprints ISBA 2018023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    33. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "DEA-DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry," European Journal of Operational Research, Elsevier, vol. 199(2), pages 576-594, December.
    34. Xiancun Hu & Chunlu Liu, 2016. "Profitability performance assessment in the Australian construction industry: a global relational two-stage DEA method," Construction Management and Economics, Taylor & Francis Journals, vol. 34(3), pages 147-159, March.
    35. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2015. "Testing the "Separability" Condition in Two-Stage Nonparametric Models of Production," LIDAM Discussion Papers ISBA 2015018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    36. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    37. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    38. W. Cooper & L. Seiford & K. Tone & J. Zhu, 2007. "Some models and measures for evaluating performances with DEA: past accomplishments and future prospects," Journal of Productivity Analysis, Springer, vol. 28(3), pages 151-163, December.
    39. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    40. Moslem Alimohammadlou & Abbas Bonyani, 2018. "A comparative analysis of dynamic and cross-sectional approaches for financial performance analysis," American Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 5(3), pages 253-275.
    41. Kadoya, Susumu & Kuroko, Takashi & Namatame, Takashi, 2008. "Contrarian investment strategy with data envelopment analysis concept," European Journal of Operational Research, Elsevier, vol. 189(1), pages 120-131, August.
    42. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    43. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    44. Apostolos G. Christopoulos & Ioannis G. Dokas & Sofia Katsimardou & Konstantinos Vlachogiannatos, 2016. "Investigation of the relative efficiency for the Greek listed firms of the construction sector based on two DEA approaches for the period 2006–2012," Operational Research, Springer, vol. 16(3), pages 423-444, October.
    45. Smith, P, 1990. "Data envelopment analysis applied to financial statements," Omega, Elsevier, vol. 18(2), pages 131-138.
    46. W.W. Cooper & Timothy W. Ruefli & Honghui Deng & Jun Wu & Zhongyi Zhang, 2008. "Are state-owned banks less efficient? A long- vs. short-run Data Envelopment Analysis of Chinese banks," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 3(5), pages 533-556.
    47. Pastor, J. T. & Ruiz, J. L. & Sirvent, I., 1999. "An enhanced DEA Russell graph efficiency measure," European Journal of Operational Research, Elsevier, vol. 115(3), pages 596-607, June.
    48. Julie Harrison & Paul Rouse, 2016. "DEA and Accounting Performance Measurement," International Series in Operations Research & Management Science, in: Shiuh-Nan Hwang & Hsuan-Shih Lee & Joe Zhu (ed.), Handbook of Operations Analytics Using Data Envelopment Analysis, chapter 0, pages 385-412, Springer.
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